AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces \lifd{} (Look, Imagine, Focus, and Do), a framework for persistent, 3D-aware scene memory that learns scene tokens through multi-view agreement, then completes them from a single RGB view and recurrent memory using rectified flow.
AntiGrounding, a visual action-selection framework built around a dual geometric--visual trajectory interface, is presented, where component ablations and evaluator sensitivity characterize trajectory assessment, proposal search, orientation control, and evaluator choice.
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